DataKitchen

OCTOBER 2, 2023

Data Teams and Their Types of Data Journeys In the rapidly evolving landscape of data management and analytics, data teams face various challenges ranging from data ingestion to end-to-end observability. It explores why DataKitchen’s ‘Data Journeys’ capability can solve these challenges.

Data Quality 100

Data Quality Testing Uncertainty Data Enablement 100

DataKitchen

AUGUST 27, 2021

DataOps automation replaces the non-value-add work performed by the data team and the outside dollars spent on consultants with an automated framework that executes efficiently and at a high level of quality. Focusing on the processes that operate on data enables the team to automate workflows and build a factory that produces insights.

Analytics 246

Analytics Sales Testing Cost-Benefit 246

IBM Big Data Hub

JANUARY 29, 2024

Automation will play a pivotal role in transforming the data center, where scale and complexity will outpace the ability of humans to keep everything running smoothly. For you as a business leader, this means pivoting from manual methods to a more streamlined, technology-driven and data-enabled approach.

Data-driven 72

Data-driven Optimization Consulting Technology 72

IBM Big Data Hub

APRIL 18, 2023

Increased automation: ISO 20022 provides a more structured way of exchanging payment data, enabling greater automation and reducing the need for manual intervention, all of which help reduce errors and improve overall payment processing efficiency. appeared first on IBM Blog.

Risk Management 117

Risk Management Cost-Benefit Risk Data-driven 117

Smart Data Collective

APRIL 14, 2023

However, with the ever-increasing volume and complexity of data, it’s essential to have an effective data navigation system to optimize your BI strategy. Layered navigation is a powerful tool that can improve your BI strategy by providing better access to relevant data and insights.

Business Intelligence 82

Business Intelligence Strategy Data-driven Visualization 82

Cloudera

NOVEMBER 16, 2020

Third-party data such as location, social media, obituaries, repair costs, and others help in faster identifying suspicious claims or applications. The post Combating Fraud in Insurance with Data appeared first on Cloudera Blog.

Insurance 97

Insurance ROI Marketing Machine Learning 97

Cloudera

APRIL 13, 2023

Sherry is an Engineering Manager for the CDV (Cloudera Data Visualization) team. Her team’s objectives are to, first, make it easier for analysts to explore data, enabling them to uncover interesting trends in product features and performance.

Management 77

Management Software Dashboards Technology 77

datapine

FEBRUARY 25, 2022

See data from different points of view : If you ever worked with data before, you must know that the deeper you dig the more value you will find. Drilling on data enables you to look at your most relevant information and visualize it from different points of view.

Reporting 173

Reporting Dashboards Visualization Interactive 173

Alation

APRIL 14, 2023

Practitioners and hands-on data users were thrilled to be there, and many connected as they shared their progress on their own data stack journeys. People were familiar with the value of a data catalog (and the growing need for data governance ), though many admitted to being somewhat behind on their journeys.

Data Warehouse 52

Data Warehouse Data-driven Digital Transformation Metadata 52

Cloudera

JANUARY 13, 2021

Engaging employees in a digital journey is something Cloudera applauds, as being truly data-driven often requires a shift in the mindset of an entire organisation. Putting data at the heart of the organisation. The platform is built on a data lake that centralises data in UOB business units across the organisation.

Digital Transformation 56

Digital Transformation Data-driven Data Lake Big Data 56

CIO Business Intelligence

OCTOBER 24, 2023

“Traditional data structures, typically organized in structured tables, often fall short of capturing the complexity of the real world,” says Weaviate’s Philip Vollet. These embeddings capture features and representations of data, enabling machines to understand, abstract, and compute on that data in sophisticated ways.”

Cost-Benefit 119

Cost-Benefit Modeling Data Quality Statistics 119

Cloudera

OCTOBER 28, 2021

For example, this supports underwriting and risk management in agricultural insurance, where all types of weather, location, soil, nutrition and all kinds of real time plant and livestock data improve insuring that business. Location, driver behavior, routing, cargo and rest time data enable fine tuning and individualized underwriting.

Insurance 94

Insurance Risk Unstructured Data Data-driven 94

Cloudera

JUNE 18, 2022

It provided the concept of a database, schemas, and tables for describing the structure of a data lake in a way that let BI tools traverse the data efficiently. If you want to learn more, join us on June 21 on our webinar with Ryan Blue, co-creator of Apache Iceberg and Anjali Norwood, Big Data Compute Lead at Netflix.

Data Lake 90

Data Lake Data Warehouse Machine Learning Cost-Benefit 90

DataKitchen

JANUARY 3, 2022

There’s a recent trend toward people creating data lake or data warehouse patterns and calling it data enablement or a data hub. DataOps expands upon this approach by focusing on the processes and workflows that create data enablement and business analytics.

Business Analytics 245

Business Analytics Analytics Testing Dashboards 245

datapine

JULY 17, 2019

By providing a detailed visualization of every aspect of your sales portfolio, this report empowers sales managers to take a full snapshot of their sales operations without losing any data, enabling them to create an extensive sales report.

KPI 223

KPI Reporting Key Performance Indicator Dashboards 223

Alation

JULY 26, 2021

Back then, our focus was three-fold, focused on: Taking inventory of our data assets, Building out a more formal data governance program , and. At this time, I worked in the Data Enablement Team and my primary focus was data catalog adoption and training. Subscribe to Alation's Blog.

Insurance 98

Insurance Digital Transformation Enterprise Data Governance 98

erwin

MAY 18, 2022

Data intelligence vendors seem to have their specialties such as catalog versus lineage versus glossary versus data quality. Clients with erwin Data Modeler propel their enterprise standards into the catalog and glossary, which becomes a key differentiator from the Informatica, Alation, Collibra and IBMs of the world.

Data Quality 52

Data Quality Metadata Data Governance Software 52

Cloudera

AUGUST 3, 2021

Advanced analytics and enterprise data empower companies to not only have a completely transparent view of movement of materials and products within their line of sight, but also leverage data from their suppliers to have a holistic view 2-3 tiers deep in the supply chain.

Analytics 108

Analytics Digital Transformation Risk Forecasting 108

DataKitchen

NOVEMBER 4, 2021

DataOps automation replaces the non-value-add work performed by the data team and the outside dollars spent on consultants with an automated framework that executes efficiently and at a high level of quality. Focusing on the processes that operate on data enables the team to automate workflows and build a factory that produces insights.

Data Processing 246

Data Processing Data Lake Cost-Benefit Testing 246

erwin

JANUARY 14, 2021

I have long stated that data is the lifeblood of digital transformation, and if the pandemic really has accelerated digital transformation, then the trends reported in IDC’s worldwide surveys make sense. But data without intelligence is just data, and this is WHY data intelligence is required.

Digital Transformation 143

Digital Transformation Metadata Big Data Data-driven 143

datapine

OCTOBER 7, 2020

They help in making the right decision: To ensure positive business results, data-enabled decisions are critical. What are key metrics in this case enabling – is an environment that focuses on making the right decision at the right time since they will present the data, and help you derive insights.

KPI 269

KPI Metrics Sales Visualization 269

Cloudera

JANUARY 27, 2022

Real-time access to phone location data can be used by travel insurers to create products that only become active when the phone (and hopefully the human attached to it) crosses country borders or travels beyond a specific distance. The post Customizing Personal Lines Insurance with Location Data appeared first on Cloudera Blog.

Insurance 81

Insurance IoT Risk Data Processing 81

Laminar Security

DECEMBER 22, 2023

Ensuring that data storage practices are in line with compliance standards often requires a review and reduction of stored data volumes. DSPM facilitates this by automating the discovery of non-compliant or over-retained data, enabling organizations to streamline their data stores to hold only what is necessary and compliant.

Cost-Benefit 95

Cost-Benefit Risk Optimization Risk Management 95

Sisense

JANUARY 13, 2020

In Moving Parts , we explore the unique data and analytics challenges manufacturing companies face every day. The world of data in modern manufacturing. We asked Christine Quan, Sisense BI Engineer in sales, how she thinks data helps product development, and she said, Indeed, data enables a company to understand its customers better.

Manufacturing 52

Manufacturing Data Lake Big Data Data Warehouse 52

Alation

SEPTEMBER 9, 2021

These decisions aren’t done in a silo; for senior leadership to make educated decisions to adopt innovation and move the business forward, they need access to the right data. Enabling data access is just the first step. This data also needs to meet quality standards to be trusted. Subscribe to Alation's Blog.

Data Governance 52

Data Governance Data Strategy Strategy Risk 52

Sisense

OCTOBER 6, 2020

Digging into quantitative data Why is quantitative data important What are the problems with quantitative data Exploring qualitative data Qualitative data benefits Getting the most from qualitative data Better together.

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

Ontotext

MARCH 19, 2021

Such reference data is often considered a key competitive advantage and an asset for the publisher – e.g, Reference data enables one to structure advanced content retrieval criteria while metadata allows the actual content retrieval. The case for organizations in other industry sectors is similar.

Metadata 124

Metadata Enterprise Publishing Management 124

Alation

JANUARY 26, 2023

Control access Ensure that access to data is granted only on a need-to-know basis. This means that different access policies are applied to different sets of data. Enable two-factor authentication Two-factor authentication adds an extra layer of security to your system. Adopt an approach of access segregation.

Data Governance 52

Data Governance Strategy Data Quality Marketing 52

AWS Big Data

MAY 4, 2023

Encored used this storage for their data application when reading or writing data, enabling them to optimize performance and cost-effectiveness. In addition to these benefits, Lambda allows you to configure ephemeral storage (/tmp) between 512–10,240 MB. If you don’t have an AWS Account Manager, please contact Sales.

Data-driven 52

Data-driven Technology Cost-Benefit Machine Learning 52

Ontotext

AUGUST 17, 2023

Graph-based approaches as the “foundation of modern data and analytics,” and a key enabler of many of the current and past data and analytics trends they publish each year. However, it seems clear that very few companies are deploying graphs strategically across their organizations.

Digital Transformation 52

Digital Transformation IT Cost-Benefit Consulting 52

Cloudera

NOVEMBER 7, 2023

This blog post is intended to provide guidance to Ozone administrators and application developers on the optimal usage of the bucket layouts for different applications. OBS buckets provide rich storage for media files and other unstructured data enabling exploration of unstructured data.

Unstructured Data 100

Unstructured Data Data Architecture Optimization Interactive 100

Cloudera

SEPTEMBER 12, 2018

Toshiba Memory’s ability to apply machine learning on petabytes of sensor and apparatus data enabled detection of small defects and inspection of all products instead of a sampling inspection. Congratulations to the Sixth Annual Data Impact Awards winners appeared first on Cloudera Blog. The post And the winners are….

Machine Learning 44

Machine Learning Big Data Data Science Data Warehouse 44

Cloudera

FEBRUARY 15, 2024

Improved data accessibility: By providing self-service data access and analytics, modern data architecture empowers business users and data analysts to analyze and visualize data, enabling faster decision-making and response to regulatory requirements.

Insurance 84

Insurance Data Architecture Risk Management Risk 84

DataKitchen

FEBRUARY 2, 2023

Central IT Data Teams focus on standards, compliance, and cost reduction. ’ They are data enabling vs. value delivery. Their software purchase behavior will align with enabling standards for line-of-business data teams who use various tools that act on data. Recession: the party is over.

Metadata 130

Metadata Testing Risk Data Science 130

AWS Big Data

SEPTEMBER 29, 2023

With these techniques, you can enhance the processing speed and accessibility of your XML data, enabling you to derive valuable insights with ease. Enter a name for the classifier, such as blog-glue-xml-contact. On the Set crawler properties page, provide a name for the new crawler (such as blog-glue-parquet ), then choose Next.

Metadata 67

Metadata Visualization Data-driven Optimization 67

CIO Business Intelligence

APRIL 15, 2022

That, in turn, would lead to all manner of articles and marketing blogs citing the incident as part of advice for avoiding the “creepy factor.”. Like all other big retailers, Target had been collecting data on its customers via shopper codes, credit cards, surveys, and more.

Analytics 143

Analytics Machine Learning Insurance Testing 143

Cloudera

OCTOBER 19, 2023

For data engineers, data scientists, and other experts, a hybrid data platform simplifies access to distributed data, enabling them to design reliable, idempotent, low-latency data pipelines that integrate real-time data from the network edge to feed operational analytics, or ML-powered, AI-automated applications and services.

Data-driven 73

Data-driven Data Architecture Predictive Modeling Digital Transformation 73